Riemannian Geometry Applied to Detection of Respiratory States From EEG Signals: The Basis for a Brain–Ventilator Interface - Navarro-Sune, X.; Hudson, A. L.; Fallani, F. De Vico; Martinerie, J.; Witon, A.; Pouget, P.; Raux, M.; Similowski, T.; Chavez, M. (IEEE transactions on biomedical engineering, 2017)
Keywords: Adult; Air flow; biomedical monitoring; Biomedical signal processing; Brain; Brain - physiology; Brain-Computer Interfaces; brain–computer interfaces (BCI); Breathing; Classification; Computer applications; Computer Science; Cortex; Covariance matrices; Covariance matrix; Diagnosis, Computer-Assisted - methods; EEG; Electrodes; Electroencephalography; electroencephalography (EEG); Electroencephalography - methods; Feature extraction; Female; Geometry; Human-Computer Interaction; Human-computer interface; Humans; Implants; Iterative methods; Machine Learning; Male; Mechanical ventilation; medical signal detection; Pattern Recognition, Automated - methods; Prototypes; Respiration; Respiration, Artificial - methods; Respiratory Mechanics - physiology; Synchronization; Ventilation; Ventilators; Verbal communication